Tag: ai-agents
All the articles with the tag "ai-agents".
AI-Native Engineering: Course Index
The reading map for a build-first AI-native engineering series: nine focused posts, one capstone, and a rigorous learner-critic release bar.
AI-Native Engineering 07: Parallelize Background Agents as a Bounded DAG
Split independent work across isolated agents while controlling cost, conflict, and retries.
AI-Native Engineering 06: Secure the Agent as an Untrusted Operator
Reduce blast radius with boundaries, least privilege, approvals, and observable failure paths.
AI-Native Engineering 03: Connect Capabilities Through MCP Portals
Govern discovery, authorization, routing, and audit for Model Context Protocol tools.
AI-Native Engineering 02: Engineer Context, Not Just Prompts
Curate the smallest high-signal context and preserve state across long agent runs.
AI-Native Engineering 01: Package Procedural Knowledge as Agent Skills
Turn team know-how into discoverable, versioned, testable Agent Skills.
AI-Native Engineering 00: Choose the Smallest Agentic Shape
Decide when a deterministic function, workflow, or bounded agent is the right tool.
LLM Evaluation for Production Workflows
How to design a useful LLM evaluation set for production workflows using real task cases, failure modes, regression checks, and human review.